Article
Computer Science, Information Systems
Congxuan Zhang, Zhongkai Zhou, Zhen Chen, Weiming Hu, Ming Li, Shaofeng Jiang
Summary: This paper proposes a self-attention-based multiscale feature learning optical flow computation method to address challenges of large displacements and motion occlusions. By utilizing self-learning module and hybrid loss function, the proposed method demonstrates competitive performance in terms of both accuracy and robustness.
IEEE TRANSACTIONS ON MULTIMEDIA
(2021)
Article
Energy & Fuels
Xiangjie Qin, Yuxuan Xia, Jinsui Wu, Chenhao Sun, Jianhui Zeng, Kai Xu, Jianchao Cai
Summary: The study characterizes the pore morphology of heterogeneous sandstone using the Euler number and shape factor and analyzes their relationship with permeability. The results show that with the increase of pore diameter, the Euler number decreases while the shape factor increases. In a connected pore system, the smaller Euler number corresponds to a complex pore network, which leads to an increase in flow resistance and a decrease in permeability. This study provides a new pore morphology characterization method for digital rock.
Article
Computer Science, Artificial Intelligence
Bibin Johnson, Sachin Thomas, J. Sheeba Rani
Summary: This study proposes a novel hybrid hardware architecture for computing high-quality optical flow of fast-moving objects in high definition images. By utilizing dedicated memory banks and custom access schemes, the proposed architecture achieves superior area reduction and improved parallelism. The author claims that this is the first work on deeply pipelined hardware architecture for capturing dense optical flow of fast-moving objects from high definition frames in real time.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2022)
Article
Optics
Johannes Dickmann
Summary: The author presents a general method for computing thermal noise of arbitrary finite-sized masses in optical interferometers, which can be applied to optical elements of any shape illuminated by any spatial light distribution. By applying this method to maladjusted mirrors in Fabry-Perot interferometers, it is found that off-axis illumination can reduce noise in the case of thin mirrors.
Article
Chemistry, Physical
Yi-Kai Ding, Zuo-Yuan Zhang, Jin-Ming Liu
Summary: This paper proposes a theoretical scheme for implementing quantum walks on a circle using polar molecules and achieves high fidelity through optimal control fields. The scheme provides insights into discrete-time quantum walks and high-dimensional quantum information processing.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Yifan Wang, Yang Li, Jiaqi Wang, Haofeng Lv
Summary: This paper proposes an optical flow estimation method based on multiscale anisotropic convolution to solve the tracking accuracy degradation problem in scenarios with large displacements or nonrigid motion during target tracking. By improving the network structure and extracting feature information, this method effectively handles edge information in regions with large displacements or nonrigid motion while maintaining tracking accuracy.
APPLIED INTELLIGENCE
(2023)
Article
Optics
Lin Ju, Yinglun Liu, Yue Ming, Xiaotian Shi, Xueshen Li, Zhigang Fan
Summary: This study proposes a prediction scheme for the image quality of infrared detection systems based on time accuracy under hypersonic conditions, and establishes a calculation model for numerical simulation. By comparing the numerical simulation results with wind tunnel test results, the reliability of the proposed method has been validated with a maximum error of less than 4.5%.
Article
Chemistry, Analytical
Chizhou Zhang, Tao Sun
Summary: Bioinformation is generated from biological movement and can be used for research. Electromyographic (EMG) signals are commonly used bioinformation in various fields. Processing EMG signals is crucial, involving collection, denoising, decomposition, feature extraction, and classification steps. This article discusses the use of wavelet denoising and decomposition processes in the final classification step and finds improved accuracy with K-nearest neighbor and independent component analysis features.
Article
Engineering, Electrical & Electronic
Qingjian Wang, Sen Wang, Mingfang Chen, Yang Zhu
Summary: This article proposes a video super-resolution network framework based on the pyramid and deformable convolution to measure the three key indicators of algorithm accuracy, speed, and model size.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Acoustics
Hu Sun, Weihan Shao, Jiannan Song, Xiaofeng Yang, Yishou Wang, Xinlin Qing
Summary: A Lamb wavefield-based monogenic signal processing algorithm is proposed to quantify corrosion parameters in plate-type structures, including location, area, shape, and depth. To solve the phase wrapping problem, a robust fast phase unwrapping algorithm is developed. The proposed algorithm demonstrates superior accuracy and computation time compared to existing methods in corrosion identification using simulated Lamb wavefield signals and experimental results from a laser ultrasonic system.
Article
Computer Science, Artificial Intelligence
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler, Petros Koumoutsakos
Summary: In this study, a novel approach is introduced to learn the effective dynamics of complex systems by bridging large-scale simulations and reduced-order models. By combining nonlinear machine learning algorithms and equation-free methodologies, the computational effort of large-scale simulations can be significantly reduced while maintaining the prediction accuracy of the full system dynamics.
NATURE MACHINE INTELLIGENCE
(2022)
Article
Chemistry, Analytical
Jinglin Xin, Xinxin Cao, Hu Xiao, Teng Liu, Rong Liu, Yunhong Xin
Summary: This paper proposes a robust and accurate algorithm based on multiscale kurtosis map fusion and the optical flow method for the detection of small infrared targets in complex natural scenes. The method enhances small targets and suppresses background noise effectively. Experimental results show that it outperforms seven state-of-the-art methods in terms of visual effect and objective evaluation indicators.
Article
Mechanics
Yang Xia, Hongze Niu, Zian Zhang, Hui Liu, Chenwei Wu
Summary: Periodic heterogeneous material (PHM) is commonly used in multi-functional composite structure design. The simulation of such material requires a novel multiscale simulation method, thus an extended multiscale isogeometric analysis (EmsIGA) is developed for the mechanical analysis of planar PHM, especially for heterogeneous materials with smooth inclusions or voids. The proposed EmsIGA method can precisely capture the geometry and concentrated stress state of the smooth inclusions and calculate the microscopic stress and strain with improved efficiency, as validated by numerical examples.
COMPOSITE STRUCTURES
(2023)
Article
Chemistry, Multidisciplinary
Carlos F. Guimaraes, Rajib Ahmed, Amideddin Mataji-Kojouri, Fernando Soto, Jie Wang, Shiqin Liu, Tanya Stoyanova, Alexandra P. Marques, Rui L. Reis, Utkan Demirci
Summary: Solid-state optics is essential for the modern digital age, while integrating soft hydrogel materials with micro/nanooptics could revolutionize photonics for bioengineering. The engineered wet-spun multilayer hydrogel fibers provide tunable design properties and optical modulation, showcasing potential applications in biomedicine. The combination of hydrogels with plasmonic nanoparticles for molecular detection and 3D printing of living optical fibers enable advancements in biomaterial-based photonics and biosensing platforms.
ADVANCED MATERIALS
(2021)
Article
Instruments & Instrumentation
Hu Sun, Weihan Shao, Jiannan Song, Xiaofeng Yang, Yishou Wang, Xinlin Qing
Summary: In this paper, a Lamb wavefield-based monogenic signal processing algorithm is proposed to quantify the delamination parameters in composite laminates. The algorithm is capable of delamination imaging and recognition by phase unwrapping and wavenumber distribution extraction. It has important application value in the safety of composite structures.
SMART MATERIALS AND STRUCTURES
(2022)
Review
Cardiac & Cardiovascular Systems
Partho P. Sengupta, Sirish Shrestha, Beatrice Berthon, Emmanuel Messas, Erwan Donal, Geoffrey H. Tison, James K. Min, Jan D'hooge, Jens-Uwe Voigt, Joel Dudley, Johan W. Verjans, Khader Shameer, Kipp Johnson, Lasse Lovstakken, Mahdi Tabassian, Marco Piccirilli, Mathieu Pernot, Naveena Yanamala, Nicolas Duchateau, Nobuyuki Kagiyama, Olivier Bernard, Piotr Slomka, Rahul Deo, Rima Arnaout
JACC-CARDIOVASCULAR IMAGING
(2020)
Article
Acoustics
Vincent Perrot, Ingvild Kinn Ekroll, Jorgen Avdal, Lars Molgaard Saxhaug, Havard Dalen, Didier Vray, Lasse Lovstakken, Herve Liebgott
Summary: This study investigated the clinical feasibility of extracting vessel wall motion and vectorial blood flow simultaneously at high frame rates. The results demonstrated that this approach could provide better estimation of plaque vulnerability and evaluation of arterial health in patients. Larger studies using this technique may lead to improved understanding and evaluation of vessels for future clinical applications.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Acoustics
Ingvild Kinn Ekroll, Vincent Perrot, Herve Liebgott, Jorgen Avdal
Summary: The new TVD scheme improves the accuracy of low velocity flow estimation by taking into account the signal loss due to filtering. Results show that tapering technique significantly enhances the accuracy and precision of near-wall vector velocity measurements.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Acoustics
Alessandro Ramalli, Enrico Boni, Claudio Giangrossi, Paolo Mattesini, Alessandro Dallai, Herve Liebgott, Piero Tortoli
Summary: This article presents a novel real-time 3-D pulsed-wave Doppler system based on a 256-element 2-D spiral array, using coded transmission and matched filtering to improve system SNR. The system's performance is assessed quantitatively on experimental data and a human phantom model, with an SNR increase of 11.4 dB achieved by transmitting linear chirps.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Computer Science, Interdisciplinary Applications
Ewan Evain, Yunyun Sun, Khuram Faraz, Damien Garcia, Eric Saloux, Bernhard L. Gerber, Mathieu De Craene, Olivier Bernard
Summary: This paper proposes a deep learning solution for motion estimation in echocardiography, including a modified version of PWC-Net and a simulation pipeline. The method achieves high performance in terms of accuracy and robustness through evaluation on simulated and real datasets obtained from different systems.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Acoustics
Yunyun Sun, Florian Vixege, Khuram Faraz, Simon Mendez, Franck Nicoud, Damien Garcia, Olivier Bernard
Summary: In this article, a numerical framework for generating clinical-like color Doppler imaging (CDI) is presented. Synthetic blood vector fields and realistic clutter artifacts are simulated for evaluating and improving the quality of Doppler imaging techniques.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Engineering, Biomedical
Florian Vixege, Alain Berod, Yunyun Sun, Simon Mendez, Olivier Bernard, Nicolas Ducros, Pierre-Yves Courand, Franck Nicoud, Damien Garcia
Summary: The iVFM technique, improved with physical constraints, accurately measures blood flow velocity in the heart and shows promising potential in assessing diastolic function in clinical settings.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin
Summary: Convolutional neural networks have shown good performance in segmenting 2D cardiac ultrasound images, but still struggle to leverage temporal information for accurate and consistent segmentation. In this paper, the authors propose a framework that learns the 2D+time cardiac shape and applies temporal and anatomical consistency constraints to improve segmentation results. Experimental results demonstrate that this method not only improves accuracy across the whole sequence, but also enforces temporal and anatomical consistency.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Acoustics
B. Pialot, A. Bernard, H. Liebgott, F. Varray
Summary: This article proposes an ultrasound method for estimating the density of vascularization in the meniscus during surgery. The method uses an arthroscopic probe driven by ultrafast sequences and combines it with a mismatched compression filter to enhance sensitivity. The study shows that the mismatched filter significantly increases the signal-to-noise ratio compared to the standard emissions and matched filter. It allows for better detection of slow flows at the cost of a small loss in axial resolution. This preliminary study is the first step towards the development of an ultrasensitive ultrasound arthroscopic probe to assist surgeons during meniscectomy.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Review
Acoustics
Alessandro Ramalli, Enrico Boni, Emmanuel Roux, Herve Liebgott, Piero Tortoli
Summary: This article reviews the work done for three decades on 2-D ultrasound sparse arrays for medical applications, including design methods, technological implementations, application examples, as well as discussions on associated drawbacks and countermeasures.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Acoustics
Goulven Le Moign, Patrice Masson, Olivier Basset, Herve Liebgott, Nicolas Quaegebeur
Summary: Ultrafast ultrasound imaging combined with 3D imaging can provide more accurate organ analysis and better diagnosis. This study proposes alternative distributions of virtual sources (VSs) to optimize lateral resolution and secondary lobes level (SLL) using a multiobjective genetic algorithm. The optimized distributions offer different tradeoffs between lateral resolution and contrast in point-like reflectors and anechoic cysts.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2023)
Article
Acoustics
Regev Cohen, Nitai Fingerhut, Francois Varray, Herve Liebgott, Yonina C. Eldar
Summary: Real-time 3-D ultrasound imaging is crucial for diagnosing and treating diseases, but the high hardware cost and data size have limited its widespread use in clinics. A new technique called SCOBA and a nonlinear beamforming method called COBA-3D have been introduced to reduce element number and improve image quality, paving the way for affordable high-quality 3-D ultrasound devices.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Proceedings Paper
Imaging Science & Photographic Technology
Quentin Demoulin, Francois Lefebvre-Albaret, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
(2020)
Article
Computer Science, Artificial Intelligence
Oumaima El Mansouri, Fabien Vidal, Adrian Basarab, Pierre Payoux, Denis Kouame, Jean-Yves Tourneret
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2020)
Article
Engineering, Electrical & Electronic
Jong-Hoon Kim, Jonathan Mamou, Denis Kouame, Alin Achim, Adrian Basarab
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2020)